Shan You 游山
Make it simple. Make it work.
I am currently a Senior Research Manager at SenseTime Research working with Fei Wang and Chen Qian. Before that, I finished a two-year post doc at Tsinghua University supervised by Prof. Changshui Zhang (IEEE Fellow). I received my Ph.D. degree in computer science from the School of EECS, Peking University in 2019, advised by Prof. Chao Xu. I am also very hornored to be jointly supervised by Prof. Dacheng Tao (IEEE Fellow) when visiting the UBTech Sydney AI Institute, the University of Sydney. In 2014, I received my bachelor's degree both in mathematics and applied mathematics (elite class) and in English at Xi'an Jiaotong University.
youshan@sensetime.com Google ScholarResearch Interest
My research interests include fundamental algorithms for machine learning and computer vision, such as efficient machine learning, representation learning, automl and face analysis.
Recruit
News
- [2022/12] Three papers were accepted to NeurIPS 2022! BCNetv2 was also accepted to TPAMI!
- [2022/04] One paper was accepted to IJCAI 2022 as LONG Oral!
- [2022/04] Our paper Quantum NAS was accepted to Nature Partner Journals Quantum Information (NPJQI)!
- [2022/03] Our paper Quantum differentially private sparse regression learning was accepted to IEEE Transactions on Information Theory (TIT)!
- [2022/03] Four papers were accepted to CVPR 2022!
- [2022/01] Our paper Relational Surrogate Loss Learning was accepted to ICLR 2022!
- [2021/11] GreedyNASv2 was released at Arxiv.
- [2021/09] ReSSL was accepted to NeurIPS 2021! It is a new and sota self-supervised learning paradigm, and the code is available at Github.
- [2021/07] I will serve as a member of the novel Program Committee Board (PCB) of IJCAI.
- [2021/06] We released Vision Transformer Architecture Search on Arxiv, and the code is available at Github.
- [2021/05] One paper about NAS was accepted to ICML 2021! We proposed a new K-shot weight sharing paradigm.
- [2021/04] We are organizing a workshop about model mining on the KDD 2021. Submition details refer to the official webcite.
- [2021/03] We have released a NAS Benchmark on the one-shot MobileNetV2 space. [Github]
- [2021/03] Three papers about NAS were accepted to CVPR 2021!
- [2021/01] One paper about channel number search was accepted to ICLR 2021 as Spotlight!
- [2020/02] GreedyNAS was accepted to CVPR 2020.
- [2019/05] In 7th Visual Object Tracking (VOT 2019) Challenge, our team won the 1st place in RT track. Check the report at ICCV 2019 workshop.
Publications
2023
Detecting Any Human-Object Interaction Relationship: Universal HOI Detector with Spatial Prompt Learning on Foundation Models
Yichao Cao, Qingfei Tang, Xiu Su, Song Chen, Shan You, Chang Xu, Xiaobo Lu
Advances in Neural Information Processing Systems (NeurIPS), 2023
[PDF]
Knowledge Diffusion for Distillation
Tao Huang, Yuan Zhang, Mingkai Zheng, Shan You, Fei Wang, Chen Qian, Chang Xu
Advances in Neural Information Processing Systems (NeurIPS), 2023
[PDF]
DiffNAS: Bootstrapping Diffusion Models by Prompting for Better Architectures
Wenhao Li, Xiu Su, Shan You, Fei Wang, Chen Qian, Chang Xu
IEEE International Conference on Data Mining (ICDM), 2023
[PDF]
Re-mine, Learn and Reason: Exploring the Cross-modal Semantic Correlations for Language-guided HOI detection
Yichao Cao, Xiu Su, Qingfei Tang, Feng Yang, Shan You, Xiaobo Lu, Chang Xu
International Conference on Computer Vision (ICCV), 2023
[PDF]
SimMatchV2: Semi-Supervised Learning with Graph Consistency
Mingkai Zheng, Shan You, Lang Huang, Chen Luo, Fei Wang, Chen Qian, Chang Xu
International Conference on Computer Vision (ICCV), 2023
[PDF]
Masked Distillation with Receptive Tokens
Tao Huang, Yuan Zhang, Shan You, Fei Wang, Chen Qian, Jian Cao, Chang Xu
International Conference on Learning Representations (ICLR), 2023
[PDF]
Searching for Network Width with Bilaterally Coupled Network
Xiu Su, Shan You, Jiyang Xie, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu
Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
[PDF]
Neural Architecture Search for Wide Spectrum Adversarial Robustness
Zhi Cheng, Yanxi Li, Minjing Dong, Xiu Su, Shan You, Chang Xu
AAAI Conference on Artificial Intelligence (AAAI), 2023
[PDF]
Boosting Semi-Supervised Semantic Segmentation with Probabilistic Representations
Haoyu Xie, Changqi Wang, Mingkai Zheng, Minjing Dong, Shan You, Chong Fu, Chang Xu
AAAI Conference on Artificial Intelligence (AAAI), 2023
[PDF]
2022
Searching for Better Spatio-temporal Alignment in Few-Shot Action Recognition
Yichao Cao, Xiu Su, Qingfei Tang, Shan You, Xiaobo Lu, Chang Xu
Advances in Neural Information Processing Systems (NeurIPS), 2022
[PDF]
ViTAS: Vision Transformer Architecture Search
Xiu Su, Shan You, Jiyang Xie, Mingkai Zheng, Fei Wang, Chen Qian, Changshui Zhang, Xiaogang Wang, Chang Xu
European Conference on Computer Vision (ECCV), 2022
[Arxiv]
ScaleNet: Searching for the Model to Scale
Jiyang Xie, Xiu Su, Shan You, Zhanyu Ma, Fei Wang, Chen Qian
European Conference on Computer Vision (ECCV), 2022
[Arxiv]
Sufficient Vision Transformer
Zhi Cheng, Xiu Su, Xueyu Wang, Shan You, Chang Xu
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2022
[PDF]
Quantum differentially private sparse regression learning
Yuxuan Du, Min-Hsiu Hsieh, Tongliang Liu, Shan You, Dacheng Tao
IEEE Transactions on Information Theory (TIT), 2022
[Arxiv]
GreedyNASv2: Greedier Search with a Greedy Path Filter
Tao Huang, Shan You, Fei Wang, Chen Qian, Changshui Zhang, Xiaogang Wang, Chang Xu
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022
[PDF]
Data Agnostic Filter Gating for Efficient Deep Networks
Hongyan Xu, Xiu Su, Shan You, Tao Huang, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu, Dadong Wang, Arcot Sowmya
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022
[Arxiv]
2021
Learnability of Quantum Neural Networks
Yuxuan Du, Min-Hsiu Hsieh, Tongliang Liu, Shan You, Dacheng Tao
PRX QUANTUM
[PDF]
Learning with Privileged Tasks
Yuru Song, Zan Lou, Shan You, Erkun Yang, Fei Wang, Chen Qian, Changshui Zhang, Xiaogang Wang
International Conference on Computer Vision (ICCV), 2021
[PDF]
K-shot NAS: Learnable Weight-Sharing for NAS with K-shot Supernets
Xiu Su*, Shan You*, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu (*co-first author)
International Conference on Machine Learning (ICML), 2021
[PDF]
BCNet: Searching for Network Width with Bilaterally Coupled Network
Xiu Su, Shan You, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021
[PDF]
Towards Improving the Consistency, Efficiency, and Flexibility of Differentiable Neural Architecture Search
Yibo Yang, Shan You, Hongyang Li, Fei Wang, Chen Qian, Zhouchen Lin
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021
[Arxiv]
Prioritized Architecture Sampling with Monto-Carlo Tree Search
Xiu Su, Tao Huang, Yanxi Li, Shan You, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021
[PDF] [Code for Benchmark]
Locally Free Weight Sharing for Network Width Search
Xiu Su, Shan You, Tao Huang, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu
International Conference on Learning Representations (ICLR, Spotlight), 2021
[PDF]
2020
GreedyNAS: Towards Fast One-Shot NAS with Greedy Supernet
Shan You, Tao Huang, Mingmin Yang, Fei Wang, Chen Qian, Changshui Zhang
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020
[PDF] [Poster] [Promotion Video]
Reborn Filters: Pruning Convolutional Neural Networks with Limited Data
Yehui Tang, Shan You, Chang Xu, Jin Han, Chen Qian, Boxin Shi, Chao Xu, Changshui Zhang
AAAI Conference on Artificial Intelligence (AAAI), 2020
[PDF]
Learning Student Networks with Few Data
Shumin Kong, Tianyu Guo, Shan You, Chang Xu
AAAI Conference on Artificial Intelligence (AAAI), 2020
[PDF]
2019
Reinforced Molecule Generation with Heterogeneous States
Fangzhou Shi, Shan You, Chang Xu
IEEE International Conference on Data Mining (ICDM, Oral), 2019
[PDF]
2018
Online Dictionary Learning with Confidence
Shan You, Chang Xu, Chao Xu
IEEE International Conference on Data Mining (ICDM, Oral), 2018
[PDF]
Learning with Single-Teacher Multi-Student
Shan You, Chang Xu, Chao Xu, Dacheng Tao
AAAI Conference on Artificial Intelligence (AAAI), 2018
[PDF]
2017
Learning from Multiple Teacher Networks
Shan You, Chang Xu, Chao Xu, Dacheng Tao
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2017
[PDF] [Spotlight]
Privileged Multi-label Learning
Shan You, Chang Xu, Yunhe Wang, Chao Xu, Dacheng Tao
International Joint Conference on Artificial Intelligence (IJCAI), 2017
[PDF]
DCT Regularized Extreme Visual Recovery
Yunhe Wang, Chang Xu, Shan You, Chao Xu, Dacheng Tao
IEEE Transactions on Image Processing (TIP), 2017
[PDF]
Fast Compressive Phase Retrieval under Bounded Noise
Hongyang Zhang, Shan You, Zhouchen Lin, Chao Xu
AAAI Conference on Artificial Intelligence (AAAI), 2017
[PDF]
2016
DCT inspired feature transform for image retrieval and reconstruction
Yunhe Wang, Miaojing Shi, Shan You, Chao Xu
IEEE Transactions on Image Processing (TIP), 2017
[PDF]
Manuscripts
Explicitly Learning Topology for Differentiable Neural Architecture Search
Tao Huang, Shan You, Yibo Yang, Zhuozhuo Tu, Fei Wang, Chen Qian, Changshui Zhang
[Arxiv]
Bringing Giant Neural Networks Down to Earth with Unlabeled Data
Yehui Tang, Shan You, Chang Xu, Boxin Shi, Chao Xu
[Arxiv]
Streaming Label Learning for Modeling Labels on the Fly
Shan You, Chang Xu, Yunhe Wang, Chao Xu, Dacheng Tao
[Arxiv]
Academic Services
Reviewer for Conferences:
International Conference on Machine Learning (ICML, 2022/2021/2020)
Neural Information Processing Systems (NeurIPS, 2021/2020/2018/2016)
International Conference on Learning Representations (ICLR, 2022/2021)
IEEE Conference on Computer Vision and Pattern Recognition (CVPR, 2022/2021)
International Conference on Computer Vision (ICCV, 2021)
AAAI Conference on Artificial Intelligence (AAAI, 2022/2021/2020/2019, PC member)
International Joint Conferences on Artificial Intelligence (IJCAI, 2022/2021/2020/2019/2018/2017, (Senior) PC member)
ACM International Conference on Multimedia (ACMMM, 2021)
Reviewer for Journals:
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
IEEE Journal on Selected Areas on Communications (JSAC)
Pattern Recognition (PR)
Volunteering:
International Conference on Machine Learning (ICML, 2017)
The 10th Joint workshop on Machine Perception and robotics (MPR, 2014)
Selected Awards
[2022/01] Outstanding Employee Award by SenseTime
[2019/05] Champion of 7th Visual Object Tracking (VOT 2019) Challenge in RT track. Check the report at ICCV 2019 workshop.
[2019/06] Qualcomm Scholarship, Peking University
[2019/05] Outstanding Graduates of Beijing, Beijing
[2019/05] Outstanding Graduates of Peking University, Peking University
[2018/06] Presidential Scholarship of Peking University, Peking University